public void AddTermination_Null_Exception()
{
var target = new OrTermination();
ExceptionAssert.IsThrowing(new ArgumentNullException("termination"), () =>
{
target.AddTermination(null);
});
}
public void HasReached_LessThan2Terminations_Exception()
{
var target = new OrTermination();
target.AddTermination(MockRepository.GenerateMock<ITermination>());
ExceptionAssert.IsThrowing(new InvalidOperationException("The OrTermination needs at least 2 terminations to perform. Please, add the missing terminations."), () =>
{
target.HasReached(MockRepository.GenerateMock<IGeneticAlgorithm>());
});
}
public void HasReached_OnlyOneTerminationsHasReached_True()
{
var target = new OrTermination();
var ga = MockRepository.GenerateMock<IGeneticAlgorithm>();
var t1 = MockRepository.GenerateMock<ITermination>();
t1.Expect(t => t.HasReached(ga)).IgnoreArguments().Return(false);
target.AddTermination(t1);
var t2 = MockRepository.GenerateMock<ITermination>();
t2.Expect(t => t.HasReached(ga)).IgnoreArguments().Return(true);
target.AddTermination(t2);
var t3 = MockRepository.GenerateMock<ITermination>();
t3.Expect(t => t.HasReached(ga)).IgnoreArguments().Return(false);
target.AddTermination(t3);
Assert.IsTrue(target.HasReached(ga));
}
public void ToString_NoArgs_State()
{
var t1 = new AndTermination();
var t2 = new OrTermination();
var t3 = new AndTermination();
var target = new AndTermination(t1, t2, t3);
Assert.AreEqual("AndTermination (AndTermination (), OrTermination (), AndTermination ())", target.ToString());
}
private IList<CheckersMove> GetNewMoves ()
{
int attempts = m_maxMoveAttempts;
var termination =
new OrTermination (
new FitnessStagnationTermination (10),
new AndTermination (
new FitnessThresholdTermination (0.1),
new GenerationNumberTermination (GA.GenerationsNumber + 20)
)
);
GA.Termination = termination;
Debug.Log ("Running GA...");
if (GA.State == GeneticAlgorithmState.NotStarted) {
GA.Start ();
} else {
GA.Resume ();
}
Debug.Log ("Fitness: " + GA.BestChromosome.Fitness);
Debug.Log ("Generations: " + GA.GenerationsNumber);
if (GA.BestChromosome.Fitness <= 0) {
Debug.LogError ("Lower than zero.");
}
attempts--;
if (GA.BestChromosome.Fitness == 0) {
HudController.IsGameOver = true;
}
return (GA.BestChromosome as CheckersChromosome).Moves;
}
public IHttpActionResult Generuj(DateTime poczatek, DateTime koniec, int naGodzine)
{
User = System.Web.HttpContext.Current.User;
int user;
int.TryParse(((ClaimsIdentity)User.Identity).Claims.First(c => c.Type == "Id").Value, out user);
((ClaimsIdentity)User.Identity).Claims.First(c => c.Type == "Admin");
if (((ClaimsIdentity)User.Identity).Claims.First(c => c.Type == "Admin").Value == "false")
{
return(Content(HttpStatusCode.Forbidden, "Brak uprawnień do wykonania zadania!"));
}
Models.Grafik grafik = null;
try
{
if (TRWA_GENEROWANIE)
{
return(Content(HttpStatusCode.Conflict, "Trwa Generowanie"));
}
TRWA_GENEROWANIE = true;
Models.DataBaseEntities db = new Models.DataBaseEntities();
List <Models.Pracownik> pracownicy = db.Pracownik.Where(p => p.GodzinWUmowie > 0 && p.StanowiskoPracownika.Count() > 0).ToList();
List <Models.Stanowisko> stanowiska = db.Stanowisko.Where(s => s.StanowiskoPracownika.Count() > 0).ToList();
// 1 bit dla czy w pracy
// pozostale numer stanowiska
int dlugoscKodonu = (int)Math.Round(Math.Log(stanowiska.Count(), 2), 0, MidpointRounding.AwayFromZero);
int iloscPrzedzialow = (int)Math.Round(koniec.Subtract(poczatek).TotalHours *naGodzine, 0, MidpointRounding.AwayFromZero) * naGodzine;
double przedzial = 60 / naGodzine;
List <double> genMin = new List <double>();
List <double> genMax = new List <double>();
List <int> genBits = new List <int>();
List <int> genDecimal = new List <int>();
for (int i = 0; i < iloscPrzedzialow * pracownicy.Count(); i++)
{
genMin.Add(0);
genMin.Add(0);
genMax.Add(1);
genMax.Add(stanowiska.Count() - 1);
genBits.Add(1);
genBits.Add(dlugoscKodonu);
genDecimal.Add(0);
genDecimal.Add(0);
}
var selection = new EliteSelection();
//var selection = new TournamentSelection(100, true);
var crossover = new UniformCrossover(0.5f);
//var crossover = new ThreeParentCrossover();
//var mutation = new ReverseSequenceMutation();
var mutation = new FlipBitMutation();
//var mutation = new UniformMutation(false);
var fitness = new OcenaGrafiku(pracownicy, stanowiska, naGodzine, poczatek, koniec);
var termination = new GeneticSharp.Domain.Terminations.OrTermination(
new FitnessStagnationTermination(1000), new FitnessThresholdTermination(0), new TimeEvolvingTermination(new TimeSpan(0, 5, 0)));
var chromosome = new FloatingPointChromosome(genMin.ToArray(), genMax.ToArray(), genBits.ToArray(), genDecimal.ToArray());
var population = new Population(1000, 10000, chromosome);
var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation);
ga.Termination = termination;
ga.MutationProbability = 0.20f;
ga.Start();
var wynik = (ga.BestChromosome as FloatingPointChromosome).ToFloatingPoints();
double?x = (ga.BestChromosome as FloatingPointChromosome).Fitness;
DateTime czas = poczatek;
grafik = new Models.Grafik();
grafik.Poczatek = poczatek;
grafik.Koniec = koniec;
db.Grafik.Add(grafik);
int j = 0;
while (czas < koniec)
{
Models.Czas cz = new Models.Czas();
foreach (Models.Pracownik pr in pracownicy)
{
if (wynik[j] == 1)
{
Models.PracownikNaStanowisku pns = new Models.PracownikNaStanowisku();
pns.Pracownik = pr;
pns.Stanowisko = stanowiska[(int)wynik[j + 1] % stanowiska.Count()];
pns.Czas = cz;
db.PracownikNaStanowisku.Add(pns);
}
j += 2;
}
if (cz.PracownikNaStanowisku.Count() > 0)
{
cz.Grafik = grafik;
cz.Poczatek = czas;
cz.Koniec = czas.AddMinutes(przedzial);
db.Czas.Add(cz);
}
czas = czas.AddMinutes(przedzial);
}
db.SaveChanges();
}
catch (Exception ex)
{
return(Content(HttpStatusCode.InternalServerError, ex.ToString()));
}
TRWA_GENEROWANIE = false;
return(Ok(grafik.Id));
}
